基于分段多区间的温室夏季温湿度智能控制策略

Intelligent Control Strategy of Temperature and Humidity in Greenhouse in Summer Based on Subsection and Multi-interval

温室环境调控能有效改善作物生产条件,为有效针对温室温度相对湿度进行精准调控,设计了一种基于物联网的温室智能监控系统,分别进行了降温、除湿、增湿和无设备运行4种处理下的试验,构建了温室无设备运行状态下温度和相对湿度变化的数学模型,通过对比同一条件下无设备运行状态的模拟值与设备调控后的实测值,定量分析出不同设备的调控能力。提出了根据作物需求分时间段、根据设备调控能力分温度区间的分段多区间温湿度调控方法,并进行了试验验证。结果表明:分段多区间控制策略可以有效地调控温度和相对湿度,全天59.46%时间内的温度处于适宜区间中,全天66.80%时间内的相对湿度处于适宜区间中;设备运行稳定且未造成设备频繁启闭。分时间段多温度区间控制策略结合智能控制系统可实现远程自动控制。

Greenhouse environmental regulation can effectively improve crop production conditions.But due to the cost,acceptance and other reasons,most farmers use experience-based methods or simpler methods to control the greenhouse environment.In this situation,how to simply and effectively regulate greenhouse temperature and humidity accurately is a pressing issue in current greenhouse production.Firstly,a modern greenhouse intelligent monitoring system based on Internet of things was designed.The experiments of cooling,dehumidification,humidification and fully closed equipment were designed,and the mathematical models of temperature and humidity under closed greenhouse were constructed.By comparing the simulated values without equipment operation under the same conditions with the measured values after equipment regulation,a temperature and humidity control method was proposed according to the time period of crop growth demand and the size of equipment control capacity,and the experimental verification was carried out.The results showed that the subsection and multi-interval control strategy can effectively regulate the temperature and humidity.The temperature within 59.46%of the day was in the target range,and the humidity within 66.80%of the day was in the target range.The equipment operated stably without frequent opening and closing of the equipment.The subsection and multi-interval control strategy put forward an idea for greenhouse environmental control,combined with the typical IoT structure,remote automatic control can be realized,and the research results can be directly applied to practice.